{
  "markdown": "# NanoBananaMCP\n\n<!-- mcp-name: io.github.AceDataCloud/mcp-nanobanana-pro -->\n\n[![PyPI version](https://img.shields.io/pypi/v/mcp-nanobanana-pro.svg)](https://pypi.org/project/mcp-nanobanana-pro/)\n[![PyPI downloads](https://img.shields.io/pypi/dm/mcp-nanobanana-pro.svg)](https://pypi.org/project/mcp-nanobanana-pro/)\n[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)\n[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)\n[![MCP](https://img.shields.io/badge/MCP-Compatible-green.svg)](https://modelcontextprotocol.io)\n\nA [Model Context Protocol (MCP)](https://modelcontextprotocol.io) server for AI image generation and editing using [Google's Nano Banana](https://deepmind.google/technologies/imagen/) model through the [AceDataCloud API](https://platform.acedata.cloud).\n\nGenerate and edit AI images directly from Claude, VS Code, or any MCP-compatible client.\n\n## Features\n\n- **Image Generation** - Create high-quality images from text prompts\n- **Image Editing** - Modify existing images or combine multiple images\n- **Virtual Try-On** - Put clothing on people in photos\n- **Product Placement** - Place products in realistic scenes\n- **Task Tracking** - Monitor generation progress and retrieve results\n\n## Tool Reference\n\n| Tool | Description |\n|------|-------------|\n| `nanobanana_generate_image` | Generate an AI image from a text prompt using Google's Nano Banana model. |\n| `nanobanana_edit_image` | Edit or combine images using AI based on a text prompt. |\n| `nanobanana_get_task` | Query the status and result of an image generation or edit task. |\n| `nanobanana_get_tasks_batch` | Query multiple image generation/edit tasks at once. |\n\n## Quick Start\n\n### 1. Get Your API Token\n\n1. Sign up at [AceDataCloud Platform](https://platform.acedata.cloud)\n2. Go to the [API documentation page](https://platform.acedata.cloud/documents/nano-banana-images)\n3. Click **\"Acquire\"** to get your API token\n4. Copy the token for use below\n\n### 2. Use the Hosted Server (Recommended)\n\nAceDataCloud hosts a managed MCP server — **no local installation required**.\n\n**Endpoint:** `https://nanobanana.mcp.acedata.cloud/mcp`\n\nAll requests require a Bearer token. Use the API token from Step 1.\n\n#### Claude.ai\n\nConnect directly on [Claude.ai](https://claude.ai) with OAuth — **no API token needed**:\n\n1. Go to Claude.ai **Settings → Integrations → Add More**\n2. Enter the server URL: `https://nanobanana.mcp.acedata.cloud/mcp`\n3. Complete the OAuth login flow\n4. Start using the tools in your conversation\n\n#### Claude Desktop\n\nAdd to your config (`~/Library/Application Support/Claude/claude_desktop_config.json` on macOS):\n\n```json\n{\n  \"mcpServers\": {\n    \"nanobanana\": {\n      \"type\": \"streamable-http\",\n      \"url\": \"https://nanobanana.mcp.acedata.cloud/mcp\",\n      \"headers\": {\n        \"Authorization\": \"Bearer YOUR_API_TOKEN\"\n      }\n    }\n  }\n}\n```\n\n#### Cursor / Windsurf\n\nAdd to your MCP config (`.cursor/mcp.json` or `.windsurf/mcp.json`):\n\n```json\n{\n  \"mcpServers\": {\n    \"nanobanana\": {\n      \"type\": \"streamable-http\",\n      \"url\": \"https://nanobanana.mcp.acedata.cloud/mcp\",\n      \"headers\": {\n        \"Authorization\": \"Bearer YOUR_API_TOKEN\"\n      }\n    }\n  }\n}\n```\n\n#### VS Code (Copilot)\n\nAdd to your VS Code MCP config (`.vscode/mcp.json`):\n\n```json\n{\n  \"servers\": {\n    \"nanobanana\": {\n      \"type\": \"streamable-http\",\n      \"url\": \"https://nanobanana.mcp.acedata.cloud/mcp\",\n      \"headers\": {\n        \"Authorization\": \"Bearer YOUR_API_TOKEN\"\n      }\n    }\n  }\n}\n```\n\nOr install the [Ace Data Cloud MCP extension](https://marketplace.visualstudio.com/items?itemName=acedatacloud.acedatacloud-mcp) for VS Code, which registers the hosted MCP servers with one-click setup.\n\n#### JetBrains IDEs\n\n1. Go to **Settings → Tools → AI Assistant → Model Context Protocol (MCP)**\n2. Click **Add** → **HTTP**\n3. Paste:\n\n```json\n{\n  \"mcpServers\": {\n    \"nanobanana\": {\n      \"url\": \"https://nanobanana.mcp.acedata.cloud/mcp\",\n      \"headers\": {\n        \"Authorization\": \"Bearer YOUR_API_TOKEN\"\n      }\n    }\n  }\n}\n```\n\n\n#### Claude Code\n\nClaude Code supports MCP servers natively:\n\n```bash\nclaude mcp add nanobanana --transport http https://nanobanana.mcp.acedata.cloud/mcp \\\n  -h \"Authorization: Bearer YOUR_API_TOKEN\"\n```\n\nOr add to your project's `.mcp.json`:\n\n```json\n{\n  \"mcpServers\": {\n    \"nanobanana\": {\n      \"type\": \"streamable-http\",\n      \"url\": \"https://nanobanana.mcp.acedata.cloud/mcp\",\n      \"headers\": {\n        \"Authorization\": \"Bearer YOUR_API_TOKEN\"\n      }\n    }\n  }\n}\n```\n\n#### Cline\n\nAdd to Cline's MCP settings (`.cline/mcp_settings.json`):\n\n```json\n{\n  \"mcpServers\": {\n    \"nanobanana\": {\n      \"type\": \"streamable-http\",\n      \"url\": \"https://nanobanana.mcp.acedata.cloud/mcp\",\n      \"headers\": {\n        \"Authorization\": \"Bearer YOUR_API_TOKEN\"\n      }\n    }\n  }\n}\n```\n\n#### Amazon Q Developer\n\nAdd to your MCP configuration:\n\n```json\n{\n  \"mcpServers\": {\n    \"nanobanana\": {\n      \"type\": \"streamable-http\",\n      \"url\": \"https://nanobanana.mcp.acedata.cloud/mcp\",\n      \"headers\": {\n        \"Authorization\": \"Bearer YOUR_API_TOKEN\"\n      }\n    }\n  }\n}\n```\n\n#### Roo Code\n\nAdd to Roo Code MCP settings:\n\n```json\n{\n  \"mcpServers\": {\n    \"nanobanana\": {\n      \"type\": \"streamable-http\",\n      \"url\": \"https://nanobanana.mcp.acedata.cloud/mcp\",\n      \"headers\": {\n        \"Authorization\": \"Bearer YOUR_API_TOKEN\"\n      }\n    }\n  }\n}\n```\n\n#### Continue.dev\n\nAdd to `.continue/config.yaml`:\n\n```yaml\nmcpServers:\n  - name: nanobanana\n    type: streamable-http\n    url: https://nanobanana.mcp.acedata.cloud/mcp\n    headers:\n      Authorization: \"Bearer YOUR_API_TOKEN\"\n```\n\n#### Zed\n\nAdd to Zed's settings (`~/.config/zed/settings.json`):\n\n```json\n{\n  \"language_models\": {\n    \"mcp_servers\": {\n      \"nanobanana\": {\n        \"url\": \"https://nanobanana.mcp.acedata.cloud/mcp\",\n        \"headers\": {\n          \"Authorization\": \"Bearer YOUR_API_TOKEN\"\n        }\n      }\n    }\n  }\n}\n```\n\n#### cURL Test\n\n```bash\n# Health check (no auth required)\ncurl https://nanobanana.mcp.acedata.cloud/health\n\n# MCP initialize\ncurl -X POST https://nanobanana.mcp.acedata.cloud/mcp \\\n  -H \"Content-Type: application/json\" \\\n  -H \"Accept: application/json\" \\\n  -H \"Authorization: Bearer YOUR_API_TOKEN\" \\\n  -d '{\"jsonrpc\":\"2.0\",\"id\":1,\"method\":\"initialize\",\"params\":{\"protocolVersion\":\"2025-03-26\",\"capabilities\":{},\"clientInfo\":{\"name\":\"test\",\"version\":\"1.0\"}}}'\n```\n\n### 3. Or Run Locally (Alternative)\n\nIf you prefer to run the server on your own machine:\n\n```bash\n# Install from PyPI\npip install mcp-nanobanana-pro\n# or\nuvx mcp-nanobanana-pro\n\n# Set your API token\nexport ACEDATACLOUD_API_TOKEN=\"your_token_here\"\n\n# Run (stdio mode for Claude Desktop / local clients)\nmcp-nanobanana-pro\n\n# Run (HTTP mode for remote access)\nmcp-nanobanana-pro --transport http --port 8000\n```\n\n#### Claude Desktop (Local)\n\n```json\n{\n  \"mcpServers\": {\n    \"nanobanana\": {\n      \"command\": \"uvx\",\n      \"args\": [\"mcp-nanobanana-pro\"],\n      \"env\": {\n        \"ACEDATACLOUD_API_TOKEN\": \"your_token_here\"\n      }\n    }\n  }\n}\n```\n\n#### Docker (Self-Hosting)\n\n```bash\ndocker pull ghcr.io/acedatacloud/mcp-nanobanana-pro:latest\ndocker run -p 8000:8000 ghcr.io/acedatacloud/mcp-nanobanana-pro:latest\n```\n\nClients connect with their own Bearer token — the server extracts the token from each request's `Authorization` header.\n\n## Available Tools\n\n### Image Generation\n\n| Tool                        | Description                          |\n| --------------------------- | ------------------------------------ |\n| `nanobanana_generate_image` | Generate an image from a text prompt |\n| `nanobanana_edit_image`     | Edit or combine images with AI       |\n\n### Tasks\n\n| Tool                         | Description                  |\n| ---------------------------- | ---------------------------- |\n| `nanobanana_get_task`        | Query a single task status   |\n| `nanobanana_get_tasks_batch` | Query multiple tasks at once |\n\n## Usage Examples\n\n### Generate Image from Prompt\n\n```\nUser: Create an image of a sunset over mountains\n\nClaude: I'll generate that image for you.\n[Calls nanobanana_generate_image with detailed prompt]\n```\n\n### Virtual Try-On\n\n```\nUser: Put this shirt on this model\n[Provides two image URLs]\n\nClaude: I'll combine these images.\n[Calls nanobanana_edit_image with both image URLs]\n```\n\n### Product Photography\n\n```\nUser: Place this product in a modern kitchen scene\n[Provides product image URL]\n\nClaude: I'll create a product scene for you.\n[Calls nanobanana_edit_image with scene description]\n```\n\n## Prompt Writing Tips\n\nFor best results, include these elements in your prompts:\n\n- **Main Subject**: What is the primary focus?\n- **Atmosphere**: What mood should the image convey?\n- **Lighting**: How is the scene illuminated?\n- **Camera/Lens**: What photographic style? (85mm portrait, wide-angle, etc.)\n- **Quality Keywords**: Technical descriptors (bokeh, film grain, HDR, etc.)\n\n### Example Prompt\n\n```\nA photorealistic close-up portrait of an elderly Japanese ceramicist\nwith deep wrinkles and a warm smile. Soft golden hour light streaming\nthrough a window. Captured with an 85mm portrait lens, soft bokeh\nbackground. Serene and masterful mood.\n```\n\n## Configuration\n\n### Environment Variables\n\n| Variable                     | Description                 | Default                     |\n| ---------------------------- | --------------------------- | --------------------------- |\n| `ACEDATACLOUD_API_TOKEN`     | API token from AceDataCloud | **Required**                |\n| `ACEDATACLOUD_API_BASE_URL`  | API base URL                | `https://api.acedata.cloud` |\n| `ACEDATACLOUD_OAUTH_CLIENT_ID`  | OAuth client ID (hosted mode) | —                           |\n| `ACEDATACLOUD_PLATFORM_BASE_URL` | Platform base URL            | `https://platform.acedata.cloud` |\n| `NANOBANANA_REQUEST_TIMEOUT` | Request timeout in seconds  | `1800`                      |\n| `LOG_LEVEL`                  | Logging level               | `INFO`                      |\n\n### Command Line Options\n\n```bash\nmcp-nanobanana-pro --help\n\nOptions:\n  --version          Show version\n  --transport        Transport mode: stdio (default) or http\n  --port             Port for HTTP transport (default: 8000)\n```\n\n## Development\n\n### Setup Development Environment\n\n```bash\n# Clone repository\ngit clone https://github.com/AceDataCloud/NanoBananaMCP.git\ncd NanoBananaMCP\n\n# Create virtual environment\npython -m venv .venv\nsource .venv/bin/activate  # or `.venv\\Scripts\\activate` on Windows\n\n# Install with dev dependencies\npip install -e \".[dev,test]\"\n```\n\n### Run Tests\n\n```bash\n# Run unit tests\npytest\n\n# Run with coverage\npytest --cov=core --cov=tools\n\n# Run integration tests (requires API token)\npytest tests/test_integration.py -m integration\n```\n\n### Code Quality\n\n```bash\n# Format code\nruff format .\n\n# Lint code\nruff check .\n\n# Type check\nmypy core tools\n```\n\n### Build & Publish\n\n```bash\n# Install build dependencies\npip install -e \".[release]\"\n\n# Build package\npython -m build\n\n# Upload to PyPI\ntwine upload dist/*\n```\n\n## Project Structure\n\n```\nNanoBanana/\n├── core/                   # Core modules\n│   ├── __init__.py\n│   ├── client.py          # HTTP client for NanoBanana API\n│   ├── config.py          # Configuration management\n│   ├── exceptions.py      # Custom exceptions\n│   ├── server.py          # MCP server initialization\n│   ├── types.py           # Type definitions\n│   └── utils.py           # Utility functions\n├── tools/                  # MCP tool definitions\n│   ├── __init__.py\n│   ├── image_tools.py     # Image generation/editing tools\n│   └── task_tools.py      # Task query tools\n├── prompts/                # MCP prompt templates\n│   └── __init__.py\n├── tests/                  # Test suite\n├── deploy/                 # Deployment configs\n│   └── production/\n│       ├── deployment.yaml\n│       ├── ingress.yaml\n│       └── service.yaml\n├── .env.example           # Environment template\n├── .gitignore\n├── Dockerfile             # Docker image for HTTP mode\n├── docker-compose.yaml    # Docker Compose config\n├── LICENSE\n├── main.py                # Entry point\n├── pyproject.toml         # Project configuration\n└── README.md\n```\n\n## API Reference\n\nThis server wraps the [AceDataCloud NanoBanana API](https://platform.acedata.cloud/documents/nano-banana-images):\n\n- [NanoBanana Images API](https://platform.acedata.cloud/documents/nano-banana-images) - Image generation and editing\n- [NanoBanana Tasks API](https://platform.acedata.cloud/documents/nano-banana-tasks) - Task queries\n\n## Use Cases\n\n- **Portrait Enhancement** - Try different clothing on the same person\n- **Product Scene Composition** - Place white-background products in realistic environments\n- **Attribute Replacement** - Change materials, colors, or variants\n- **Poster Quick Editing** - Rapidly change styles or themes\n- **2D to 3D Conversion** - Convert images to 3D product mockups\n- **Image Restoration** - Restore old or damaged photos\n\n## Contributing\n\nContributions are welcome! Please:\n\n1. Fork the repository\n2. Create a feature branch (`git checkout -b feature/amazing`)\n3. Commit your changes (`git commit -m 'Add amazing feature'`)\n4. Push to the branch (`git push origin feature/amazing`)\n5. Open a Pull Request\n\n## Documentation\n\n<!-- canonical-documentation -->\n[Documentation](https://platform.acedata.cloud/documents/nano-banana-mcp)\n\n## License\n\nMIT License - see [LICENSE](LICENSE) for details.\n\n## Links\n\n- [AceDataCloud Platform](https://platform.acedata.cloud)\n- [Model Context Protocol](https://modelcontextprotocol.io)\n- [MCP Python SDK](https://github.com/modelcontextprotocol/python-sdk)\n\n---\n\nMade with love by [AceDataCloud](https://platform.acedata.cloud)\n",
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